An Integrated Approach to Snowmelt Flood Forecasting in Water Resource Management
文献类型：SCI/SSCI论文
| 作者 | Fang S. F. ; Xu L. D. ; Pei H. ; Liu Y. Q. ; Liu Z. H. ; Zhu Y. Q. ; Yan J. W. ; Zhang H. F. |
| 发表日期 | 2014 |
| 关键词 | Cloud services enterprise information systems (EIS) geoinformatics industrial information integration engineering (IIIE) information infrastructure snowmelt flood forecasting system integration water resource management decision-support-system enterprise information-systems quality management service workflow framework knowledge thinking design |
| 英文摘要 | Water scarcity and floods are the major challenges for human society both present and future. Effective and scientific management of water resources requires a good understanding of water cycles, and a systematic integration of observations can lead to better prediction results. This paper presents an integrated approach to water resource management based on geoinformatics including technologies such as Remote Sensing (RS), Geographical Information Systems (GIS), Global Positioning Systems (GPS), Enterprise Information Systems (EIS), and cloud services. The paper introduces a prototype IIS called Water Resource Management Enterprise Information System (WRMEIS) that integrates functions such as data acquisition, data management and sharing, modeling, and knowledge management. A system called SFFEIS (Snowmelt Flood Forecasting Enterprise Information System) based on the WRMEIS structure has been implemented. It includes operational database, Extraction-Transformation-Loading (ETL), information warehouse, temporal and spatial analysis, simulation/prediction models, knowledge management, and other functions. In this study, a prototype water resource management IIS is developed which integrates geoinformatics, EIS, and cloud service. It also proposes a novel approach to information management that allows any participant play the role as a sensor as well as a contributor to the information warehouse. Both users and public play the role for providing data and knowledge. This study highlights the crucial importance of a systematic approach toward IISs for effective resource and environment management. |
| 出处 | Ieee Transactions on Industrial Informatics |
| 卷 | 10 |
| 期 | 1 |
| 页 | 548-558 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1551-3203 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/29892]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Fang S. F.,Xu L. D.,Pei H.,et al. An Integrated Approach to Snowmelt Flood Forecasting in Water Resource Management. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
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